期刊
JOURNAL OF TRANSPORT GEOGRAPHY
卷 82, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jtrangeo.2019.102566
关键词
Bicycle accessibility; Backless bike-sharing data; DMR model; Impedance function; Trip purpose
资金
- Peking University-Lincoln Institute Center for Urban Development and Land Policy Scholarship [DS20170901]
- Chinese Scholarship Council Scholarship
This paper proposes a new method to estimate bicycle accessibility for various trip purposes based on a massive dockless bike-sharing dataset in Shanghai, China. Specifically, a Dirichlet multinomial regression topic model (DMR model) is applied to identify bicycle trajectories' trip purposes, simultaneously considering arrival time and drop-off location. Based on obtained trip purposes, we estimate impedance functions using a negative exponential function. Finally, based on estimated impedance functions, two cases of bicycle accessibility for two different purposes - restaurant and hospital - are presented in Shanghais central area. The results show that almost 90% of bicycle trips are less than 30 min or 5 km. Although the difference between the impedance functions between various trip purposes is not significant, we find that trip purposes of Work and School have the highest travel impedance for bicyclists. Cyclists in Shanghai accept longer bicycle travel times for leisure (e.g., shopping) than for commuting (e.g., work or school).
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